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415 Results

A Behavioral New Keynesian Model of a Small Open Economy Under Limited Foresight

Staff working paper 2023-44 Seunghoon Na, Yinxi Xie
This paper studies exchange rate dynamics by incorporating bounded rationality, that is, limited foresight, in a small open-economy model. This behavior of limited foresight helps explain several observations and puzzles in the data of exchange rate movements.

Competition for Exclusivity and Customer Lock-in: Evidence from Copyright Enforcement in China

Staff working paper 2023-43 Youming Liu
This paper studies the music streaming industry and argues that having exclusive rights granted by copyright law drives firms to offer exclusive content to lock in customers. I employ theoretical and descriptive empirical analysis, along with a dynamic structural model, to support the argument and explore policies for improving competition.

Understanding DeFi Through the Lens of a Production-Network Model

Staff working paper 2023-42 Jonathan Chiu, Thorsten Koeppl, Hanna Yu, Shengxing Zhang
We develop a production-network model to capture how decentralized finance (DeFi) has evolved across different sectors of financial services. The model allows us to measure the value added by different DeFi sectors and to study how the connections across the sectors influence token prices.

Digitalization: Implications for Monetary Policy

We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public.

Generalized Autoregressive Gamma Processes

Staff working paper 2023-40 Bruno Feunou
We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does.

Global Demand and Supply Sentiment: Evidence from Earnings Calls

Staff working paper 2023-37 Temel Taskin, Franz Ulrich Ruch
This paper quantifies global demand, supply and uncertainty shocks and compares two major global recessions: the 2008–09 Great Recession and the COVID-19 pandemic. We use two alternate approaches to decompose economic shocks: text mining techniques on earnings calls transcripts and a structural Bayesian vector autoregression model.

What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada?

Staff discussion paper 2023-13 Marc-André Gosselin, Temel Taskin
We construct new indicators of demand and supply for the Canadian economy by using natural language processing techniques to analyze earnings calls of publicly listed firms. Our results indicate that the new indicators could help central banks identify inflationary pressures in real time.

What People Believe About Monetary Finance and What We Can(’t) Do About It: Evidence from a Large-Scale, Multi-Country Survey Experiment

Staff working paper 2023-36 Cars Hommes, Julien Pinter, Isabelle Salle
We conduct a large-scale survey to shed light on what people believe about public finance. An experiment demonstrates that central bank communication can persistently shift views on monetary financing. It further suggests that views on monetary financing impact support for fiscal discipline.

Understanding Inflation Dynamics: The Role of Government Expenditures

Staff working paper 2023-30 Chang Liu, Yinxi Xie
We study the impact government expenditure has on inflation. We find that changes in government expenditure account for a substantial portion of inflation variations. We also find that inflation and inflation expectations respond negatively to fiscal spending shocks, reaffirming the supply-side channel through which inflation responds to fiscal expansions.
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